The aim of this paper is to present the adaptation of an Evolutionary Algorithm, Social Network Optimization (SNO) to multi-objective benchmark function. The algorithm will be presented in his basic implementation and then the modifications will be shown. Then it will be used to find the Pareto front of a sparse array.
SNO multi-objective implementation for sparse array optimization / Grimaccia, Francesco; Mussetta, Marco; Niccolai, Alessandro; Pirinoli, Paola; Zich, Riccardo E.. - ELETTRONICO. - (2017), pp. 824-827. (Intervento presentato al convegno 19th International Conference on Electromagnetics in Advanced Applications, ICEAA 2017 tenutosi a Verona, Italia nel 11-15 settembre 2017) [10.1109/ICEAA.2017.8065378].
SNO multi-objective implementation for sparse array optimization
Pirinoli, Paola;
2017
Abstract
The aim of this paper is to present the adaptation of an Evolutionary Algorithm, Social Network Optimization (SNO) to multi-objective benchmark function. The algorithm will be presented in his basic implementation and then the modifications will be shown. Then it will be used to find the Pareto front of a sparse array.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2701899
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